The UMMDA AI platform identifies in real time with accuracy the can be dialed up or down allergens, fungus, bacteria, viruses, pathogens, contaminants, and pollutants.
in real-time
Our system works through several simple steps. The AI system is first trained on various micro-organisms and contaminants. After proper training,
we can provide a sample to the AI for evaluation using a high magnification microscope and a live-feed camera.
The AI then evaluates, labels, and classifies which matter is selected for detection. We gather the AI's results and provide it
to our clients.
The software consists of several independent platforms and algorithms that manage and learn through machine learning, artificial intelligence, tagging, and labeling. Just embarked upon adding quantum computing to the process. Much of the system and data are proprietary and custom-built.
Drones and robots collect and deposit clusters of matter and deposit them into a receptacle connected to the transparent liquid tubes for autonomous and simplified sample detection.
Current processes, techniques, and technologies for microbe and contaminant identification take 24 hours to several days. Samples must be obtained without disruption (cross-contamination) and transported to a lab. The time between the moment the specimen is collected and the final result depends on the sophistication of equipment used and the expertise of the humans involved in the process.
It could be a week before harmful and contagious pathogens or contaminants are discovered. Most of that time is devoted to incubating the microbes in a petri dish, a requirement for current detection techniques. Our Ai application cuts down that time drastically and lowers costs involved.
How do we obtain micro-organisms and matter without contaminating the sample or exposing the end-user to harmful matter?
We use a self directed autonomous application that is trained to detect all types of matter including bodily fluids, plant diseases, parasites, and if needed - biological germs. Once the sample is obtained, a drone or robot places the sample on a transport system that brings the sample to the AI detection area and detects the singular type of matter of clusters such as dust, bacteria, and allergens.
